TY - JOUR
T1 - The identification of soil moisture as a factor of drought in cilutung watershed during indian ocean dipole year
AU - Arlan, D. S.D.
AU - Kusratmoko, E.
AU - Hernina, R.
N1 - Funding Information:
This study was conducted in Department Geography, Faculty of Mathematics and Natural Science Universitas Indonesia. The author wished to thank Mr. Eko Kusratmoko and Ms. Revi Hernina who have supported in this study
Publisher Copyright:
© 2022 Institute of Physics Publishing. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The Indian Ocean Dipole event in 2019 has caused several drought events in the Cilutung Watershed. The information about the spatial and temporal soil moisture distribution along its changes is needed to identify soil moisture values as a drought factor in the Cilutung Watershed. The Landsat 8 OLI-TIRS data used to get the value of soil moisture based on Soil Moisture Index (SMI) method by applying the triangle method between Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI). This study analyses the spatial patterns of soil moisture and identifies physical characteristics that are forming in the areas with dry and very dry soil moisture values in the Cilutung Watershed during the dry period in 2019. The results showed that in the Cilutung Watershed during the dry month period in 2019, the Soil Moisture Index value would be higher on steep slopes, with the land-use consisting of shrubs, forests and mixed dryland agriculture, with the type of soils, red-yellow podzolic while the Soil Moisture Index value would be lower on the flat slopes, with the land-use consisting of residential land and open land, with the type of soils grumusol. Based on the K-Means grouping analysis method, the areas with dry and very dry soil moisture values in the Cilutung Watershed tends to have physical characteristics of flat slopes, the type of land use such as the settlement, mixed dryland agriculture, open land and rice fields, with the soil types grumusol, latosol and andosol.
AB - The Indian Ocean Dipole event in 2019 has caused several drought events in the Cilutung Watershed. The information about the spatial and temporal soil moisture distribution along its changes is needed to identify soil moisture values as a drought factor in the Cilutung Watershed. The Landsat 8 OLI-TIRS data used to get the value of soil moisture based on Soil Moisture Index (SMI) method by applying the triangle method between Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI). This study analyses the spatial patterns of soil moisture and identifies physical characteristics that are forming in the areas with dry and very dry soil moisture values in the Cilutung Watershed during the dry period in 2019. The results showed that in the Cilutung Watershed during the dry month period in 2019, the Soil Moisture Index value would be higher on steep slopes, with the land-use consisting of shrubs, forests and mixed dryland agriculture, with the type of soils, red-yellow podzolic while the Soil Moisture Index value would be lower on the flat slopes, with the land-use consisting of residential land and open land, with the type of soils grumusol. Based on the K-Means grouping analysis method, the areas with dry and very dry soil moisture values in the Cilutung Watershed tends to have physical characteristics of flat slopes, the type of land use such as the settlement, mixed dryland agriculture, open land and rice fields, with the soil types grumusol, latosol and andosol.
UR - http://www.scopus.com/inward/record.url?scp=85142533998&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/1089/1/012017
DO - 10.1088/1755-1315/1089/1/012017
M3 - Conference article
AN - SCOPUS:85142533998
SN - 1755-1307
VL - 1089
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012017
T2 - 4th International Geography Seminar 2020, IGEOS 2020
Y2 - 29 September 2020 through 30 September 2020
ER -
